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Title:A general treatment of non-response data from choice experiments using logit models PDF Logo
Authors:Balcombe, Kelvin
Fraser, Iain
Issue Date:2009
Series/Report no.:School of Economics discussion papers 09,16
Abstract:A new approach is developed for the treatment of 'Don't Know' (DK) responses, within Choice Experiments. A DK option is motivated by the need to allow respondents the opportunity to express uncertainty. Our model explains a DK using an entropy measure of the similarity between options given to respondents within the Choice Experiment. We illustrate our model by applying it to a Choice Experiment examining consumer preferences for nutrient contents in food. We find that similarity between options in a given choice set does explain the tendency for respondents to report DK.
Subjects:choice experiment
respondent uncertainty
Bayesian methods
JEL:C35
I18
Q18
Document Type:Working Paper
Appears in Collections:School of Economics Discussion Papers, University of Kent

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